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portada Machine Learning for Cyber Physical Systems
Type
Physical Book
Language
Inglés
Pages
144
Format
Paperback
Dimensions
27.9 x 21.6 x 0.8 cm
Weight
0.35 kg.
ISBN13
9781013270789

Machine Learning for Cyber Physical Systems

Jürgen Beyerer (Author) · Oliver Niggemann (Author) · Christian Kühnert (Author) · Saint Philip Street Press · Paperback

Machine Learning for Cyber Physical Systems - Niggemann, Oliver ; Kühnert, Christian ; Beyerer, Jürgen

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Synopsis "Machine Learning for Cyber Physical Systems"

This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS - Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

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